How should scientists react to anthropomorphism (defined for the purposes of this paper as the attribution of mental states or properties to nonhuman animals)? Many thoughtful scientists have attempted to accommodate some measure of anthropomorphism in their approaches to animal behavior. But Wynne will have none of it. We reject his argument against anthropomorphism and argue that he does not pay sufficient attention to the historical facts or to the details of alternative approaches.

Psychology, according to a standard dictionary definition, is the science of mind and behavior. For a major part of the twentieth century, (nonhuman) animal psychology was on a behavioristic track that explicitly denied the possibility of a science of animal mind. While many comparative psychologists remain wedded to behavioristic methods, they have more recently adopted a cognitive, information-processing approach that does not adhere to the strictures of stimulus-response explanations of animal behavior. Cognitive ethologists are typically willing to go much further (...) than comparative psychologists by adopting folk-psychological terms to explain the behavior of nonhuman animals. This different attitudes of many scientists presupposes a distinction between cognitive and mental state attributions that is not commonly articulated. This paper seeks to understand that distinction. (shrink)

According to the mental continuity claim (MCC), human mental faculties are physical and beneficial to human survival, so they must have evolved gradually from ancestral forms and we should expect to see their precursors across species. Materialism of mind coupled with Darwin’s evolutionary theory leads directly to such claims and even today arguments for animal mental properties are often presented with the MCC as a premise. However, the MCC has been often challenged among contemporary scholars. It is usually argued that (...) only humans use language and that language as such has no precursors in the animal kingdom. Moreover, language is quite often understood as a necessary tool for having representations and forming beliefs. As a consequence, by lacking language animals could not have developed representational systems or beliefs. In response to these worries, we aim to mount a limited defense of the MCC as an empirical hypothesis. First, we will provide a short historical overview of the origins of the MCC and examine some of the motives behind traditional arguments for and against it. Second, we will focus on one particular question, namely whether language as such is necessary for having beliefs. Our goal is to show that there is little reason to think language is necessary for belief. In doing so, we will challenge a view of belief that is widely accepted by those working in animal cognition, namely representational belief, and we will argue that if belief is non-representational, then different research questions and methods are required. We will conclude with an argument that to study the evolution of belief across species, it is essential to begin the study of subjects in their social and ecological environment rather than in contexts that are not ecologically valid along the social and ecological dimensions. Thus, rather than serving as a premise in an argument 3 in favor of animal minds, the MCC can only be defended by empirical investigation, but importantly, empirical investigation of the right sort.. (shrink)

Biology and Philosophy, forthcoming. Following recent arguments that there is no logical problem with attributing mental or agential states to animals, I address the epistemological problem of how to go about making accurate attributions. I suggest that there is a two-part general method for determining whether a psychological property can be accurately attributed to a member of another species: folk expert opinion and functionality. This method is based on well-known assessments used to attribute mental states to humans who are unable (...) to self-ascribe due to an early stage of development or impairment, and can be used to describe social and emotional development as well as personality. I describe how instruments such as the Child Behavior Checklist, which relies on intersubjective expert opinion, could be modified to assess other species subjects. The measures are validated via the accuracy of the predictions that are derived, which is an example of the functionality of attribution. I respond to theoretical criticisms against use of this method, and argue that if the method counts as good science for infant cognition research, then it should count as good science for animal cognition research as well. Correspondingly, if the method doesn’t count as good science for animal cognition research, then we must be very skeptical of its use with nonverbal humans. (shrink)

We provide an account of chimpanzee-specific agency within the context of philosophy of action. We do so by showing that chimpanzees are capable of what we call reason-directed action, even though they may be incapable of more full-blown action, which we call reason-considered action. Although chimpanzee agency does not possess all the features of typical adult human agency, chimpanzee agency is evolutionarily responsive to their environment and overlaps considerably with our own. As such, it is an evolved set of capacities (...) for goal-directed behavior, which solves problems that chimpanzees (and humans) naturally encounter. Thus, it ought not be understood as a deficient instance of human agency. (shrink)

The task of explaining language evolution is often presented by leading theorists in explicitly Gricean terms. After a critical evaluation, I present an alternative, non-Gricean conceptualization of the task. I argue that, while it may be true that nonhuman animals, in contrast to language users, lack the ‘motive to share information’ understood à la Grice, nonhuman animals nevertheless do express states of mind through complex nonlinguistic behavior. On a proper, non-Gricean construal of expressive communication, this means that they show to (...) their designated audience (without intentionally telling)—and their designated audience recognizes (without rationally inferring)—both how things are in the world and how things are with them. Recognizing that our nonhuman predecessors were already proficient—though non-Gricean—sharers of such information would free us to focus on the more tractable problem of explaining how linguistic expressive vehicles came to replace, augment, and transform the nonlinguistic expressive means to which nonhuman animals are consigned. (shrink)

Realists about animal cognition confront a puzzle. If animals have real, contentful cognitive states, why can’t anyone say precisely what the contents of those states are? I consider several possible resolutions to this puzzle that are open to realists, and argue that the best of these is likely to appeal to differences in the format of animal cognition and human language.

This paper surveys and evaluates the answers that philosophers and animal researchers have given to two questions. Do animals have thoughts? If so, are their thoughts conceptual? Along the way, special attention is paid to distinguish debates of substance from mere battles over terminology, and to isolate fruitful areas for future research.

In Thinking without Words I develop a philosophical framework for treating some animals and human infants as genuine thinkers. This paper outlines the aspects of this account that are most relevant to those working in animal ethics. There is a range of different levels of cognitive sophistication in different animal species, in addition to limits to the types of thought available to non-linguistic creatures, and it may be important for animal ethicists to take this into account in exploring issues of (...) moral significance and the obligations that we might or might not have to non-human animals. (shrink)

This paper addresses issues regarding human origins, drawing particularly on George Herbert Mead's account of the emergence of self consciousness as a product of social and physical evolution. Some of John Dewey's ideas on the nature of thought and language are added to that account. The so called "great leap" in human evolution that occurred some 50,000 years ago is attributed not just to the emergence of symbols or language but to the development of fully recursive languages suited for reference (...) to abstract possibilities. An account of the emergence of abstract referential capabilities is the focus of this paper. (shrink)

The main objective of this essay is to validate some of the principal, currently competing, mammalian consciousness-brain theories by comparing these theories with data on both cognitive abilities and brain organization in birds. Our argument is that, given that multiple complex cognitive functions are correlated with presumed consciousness in mammals, this correlation holds for birds as well. Thus, the neuroanatomical features of the forebrain common to both birds and mammals may be those that are crucial to the generation of both (...) complex cognition and consciousness. The general conclusion is that most of the consciousness-brain theories appear to be valid for the avian brain. Even though some specific homologies are unresolved, most of the critical structures presumed necessary for consciousness in mammalian brains have clear homologues in avian brains. Furthermore, considering the fact that the reptile-bird brain transition shows more structural continuity than the stem amniote-mammalian transition, the line drawn at the origin of mammals for consciousness by several of the theorists seems questionable. An equally important point is that consciousness cannot be ruled out in the absence of complex cognition; it may in fact be the case that consciousness is a necessary prerequisite for complex cognition. (shrink)

Morgan’s Canon is a very widely endorsed methodological principle in animal psychology, believed to be vital for a rigorous, scientific approach to the study of animal cognition. In contrast I argue that Morgan’s Canon is unjustified, pernicious and unnecessary. I identify two main versions of the Canon and show that they both suffer from very serious problems. I then suggest an alternative methodological principle that captures all of the genuine methodological benefits that Morgan’s Canon can bring but suffers from none (...) of its problems. (shrink)

This paper develops the hypothesis that languages may be learned by means of a kind of cause-effect analysis. This hypothesis is developed through an examination of E. Sue Savage-Rumbaugh's research on the abilities of chimpanzees to learn to use symbols. Savage-Rumbaugh herself tends to conceive of her work as aiming to demonstrate that chimpanzees are able to learn the "referential function" of symbols. Thus the paper begins with a critique of this way of viewing the chimpanzee's achievements. The hypothesis that (...) Savage-Rumbaugh's chimpanzees learn to use symbols by means of cause-effect analysis is then supported through a detailed examination of the tasks they have learned to perform. Next, it is explained how language-learning in humans might be conceptualized along similar lines. The final section attempts to explain how the pertinent cause-effect analysis ought to be conceived. (This paper was published with a reply by Savage-Rumbaugh. See the same issue, pp. 55-76.). (shrink)

To what extent can animal behaviour be described as rational? What does it even mean to describe behaviour as rational? -/- This book focuses on one of the major debates in science today - how closely does mental processing in animals resemble mental processing in humans. It addresses the question of whether and to what extent non-human animals are rational, that is, whether any animal behaviour can be regarded as the result of a rational thought processes. It does this with (...) attention to three key questions, which recur throughout the book and which have both empirical and philosophical aspects: What kinds of behavioural tasks can animals successfully perform? What if any mental processes must be postulated to explain their performance at these tasks? What properties must processes have to count as rational? The book is distinctive in pursuing these questions not only in relation to our closest relatives, the primates, whose intelligence usually gets the most attention, but also in relation to birds and dolphins, where striking results are also being obtained. -/- Some chapters focus on a particular species. They describe some of the extraordinary and complex behaviour of these species - using tools in novel ways to solve foraging problems, for example, or behaving in novel ways to solve complex social problems - and ask whether such behaviour should be explained in rational or merely mechanistic terms. Other chapters address more theoretical issues and ask, for example, what it means for behaviour to be rational, and whether rationality can be understood in the absence of language. -/- The book includes many of the world's leading figures doing empirical work on rationality in primates, dolphins, and birds, as well as distinguished philosophers of mind and science. The book includes an editors' introduction which summarises the philosophical and empirical work presented, and draws together the issues discussed by the contributors. (shrink)

One of the earliest issues in cognitive ethology concerned the meaning of animal signals. In the 1970s and 1980s this debate was most active with respect to the question of whether animal alarm calls convey information about the emotional states of animals or whether they “refer” directly to predators in the environment (Seyfarth, Cheney, & Marler 1980; see Radick 2007 for a historical account), but other areas, such as vocalizations about food and social contact, were also widely discussed. In the (...) 1990s, ethologists largely came to a consensus that such calls were “functionally referential” (Evans & Marler 1995) even if they did not satisfy all the semantic requirements imposed by philosophers of language. More recently, though, it has been argued that ethologists should eschew the concept of reference and return to a focus on the affective aspects of animal communication (Rendall & Owren 2002). We propose to take a new look at this debate in the light of recent developments in the philosophy of language under the heading of “Neo-Expressivism” (Bar-On 2004). This view provides two different senses.. (shrink)

Information and Meaning are present everywhere around us and within ourselves. Specific studies have been implemented in order to link information and meaning: - Semiotics - Phenomenology - Analytic Philosophy - Psychology No general coverage is available for the notion of meaning. We propose to complement this lack by a systemic approach to meaning generation.

Understanding computation as “a process of the dynamic change of information” brings to look at the different types of computation and information. Computation of information does not exist alone by itself but is to be considered as part of a system that uses it for some given purpose. Information can be meaningless like a thunderstorm noise, it can be meaningful like an alert signal, or like the representation of a desired food. A thunderstorm noise participates to the generation of meaningful (...) information about coming rain. An alert signal has a meaning as allowing a safety constraint to be satisfied. The representation of a desired food participates to the satisfaction of some metabolic constraints for the organism. Computations on information and representations will be different in nature and in complexity as the systems that link them have different constraints to satisfy. Animals have survival constraints to satisfy. Humans have many specific constraints coming in addition. And computers will compute what the designer and programmer ask for. We propose to analyze the different relations between information, meaning and representation by taking an evolutionary approach on the systems that link them. Such a bottom-up approach allows starting with simple organisms and avoids an implicit focus on humans, which is the most complex and difficult case. To make available a common background usable for the many different cases, we use a systemic tool that defines the generation of meaningful information by and for a system submitted to a constraint [Menant, 2003]. This systemic tool allows to position information, meaning and representations for systems relatively to environmental entities in an evolutionary perspective. We begin by positioning the notions of information, meaning and representation and recall the characteristics of the Meaning Generator System (MGS) that link a system submitted to a constraint to its environment. We then use the MGS for animals and highlight the network nature of the interrelated meanings about an entity of the environment. This brings us to define the representation of an item for an agent as being the network of meanings relative to the item for the agent. Such meaningful representations embed the agents in their environments and are far from the Good Old Fashion Artificial Intelligence type ones. The MGS approach is then used for humans with a limitation resulting of the unknown nature of human consciousness. Application of the MGS to artificial systems brings to look for compatibilities with different levels of Artificial Intelligence (AI) like embodied-situated AI, the Guidance Theory of Representations, and enactive AI. Concerns relative to different types of autonomy and organic or artificial constraints are highlighted. We finish by summarizing the points addressed and by proposing some continuations. (shrink)

We propose here to clarify some of the relations existing between information and meaning by showing how meaningful information can be generated by a system submitted to a constraint. We build up definitions and properties for meaningful information, a meaning generator system and the domain of efficiency of a meaning (to cover cases of meaningful information transmission). Basic notions of information processing are used.

Information and meaning exist around us and within ourselves, and the same information can correspond to different meanings. This is true for humans and animals, and is becoming true for robots. We propose here an overview of this subject by using a systemic tool related to meaning generation that has already been published (C. Menant, Entropy 2003). The Meaning Generator System (MGS) is a system submitted to a constraint that generates a meaningful information when it receives an incident information that (...) has a relation with the constraint. The content of the meaningful information is explicited, and its function is to trigger an action that will be used to satisfy the constraint of the system. The MGS has been introduced in the case of basic life submitted to a "stay alive" constraint. We propose here to see how the usage of the MGS can be extended to more complex living systems, to humans and to robots by introducing new types of constraints, and integrating the MGS into higher level systems. The application of the MGS to humans is partly based on a scenario relative to the evolution of body self-awareness toward self-consciousness that has already been presented (C. Menant, Biosemiotics 2003, and TSC 2004). The application of the MGS to robots is based on the definition of the MGS applied to robots functionality, taking into account the origins of the constraints. We conclude with a summary of this overview and with themes that can be linked to this systemic approach on meaning generation. (shrink)

Orang-utans played a communication game in two studies testing their ability to produce and comprehend requestive pointing. While the ‘communicator’ could see but not obtain hidden food, the ‘donor’ could release the food to the communicator, but could not see its location for herself. They could coordinate successfully if the communicator pointed to the food, and if the donor comprehended his communicative goal and responded pro-socially. In Study 1, one orang-utan pointed regularly and accurately for peers. However, they responded only (...) rarely. In Study 2, a human experimenter played the communicator’s role in three conditions, testing the apes’ comprehension of points of different heights and different degrees of ostension. There was no effect of condition. However, across conditions one donor performed well individually, and as a group orang-utans’ comprehension performance tended towards significance. We explain this on the grounds that comprehension required inferences that they found difficult – but not impossible. The finding has valuable implications for our thinking about the development of pointing in phylogeny. (shrink)

The project of treating knowledge as an empirical object of study has gained popularity in recent naturalistic epistemology. It is argued here that the assumption that such an object of study exists is in tension with other central elements of naturalistic philosophy. Two hypotheses are considered. In the first, “knowledge” is hypothesized to refer to mental states causally responsible for the behaviour of cognitive agents. Here, the relational character of truth creates a problem. In the second hypothesis “knowledge” is hypothesized (...) to refer to mental states causally responsible for the evolutionarily successful behaviour of cognitive agents. Here, the problem lies in the fact that evolution by natural selection is not necessarily conducive to truth. The result does not necessarily amount to eliminativism, however, since the naturalist may consistently reject the condition of truth that lies behind these problems. (shrink)

Povinelli’s Problem is a well-known methodological problem confronting those researching nonhuman primate cognition. In this paper I add a new wrinkle to this problem. The wrinkle concerns introspection, i.e., the ability to detect one’s own mental states. I argue that introspection either creates a new obstacle to solving Povinelli’s Problem, or creates a slightly different, but closely related, problem. I apply these arguments to Robert Lurz and Carla Krachun’s (Review of Philosophy and Psychology 2: 449–481, 2011) recent attempt at solving (...) Povinelli’s Problem. (shrink)

In this paper I evaluate embodied social cognition, embodied cognition’s account of how we understand others. I identify and evaluate three claims that motivate embodied social cognition. These claims are not specific to social cognition; they are general hypotheses about cognition. As such, they may be used in more general arguments for embodied cognition. I argue that we have good reasons to reject these claims. Thus, the case for embodied social cognition fails. Moreover, to the extent that general arguments for (...) embodied cognition rest on these premises, they are correspondingly uncompelling. (shrink)

Kristin Andrews proposes a new framework for thinking about folk psychology, which she calls Pluralistic Folk Psychology. Her approach emphasizes kinds of psychological prediction and explanation that don't rest on propositional attitude attribution. Here I review some elements of her theory and find that, although the approach is very promising, there's still work to be done before we can conclude that the manners of prediction and explanation she identifies don't involve implicit propositional attitude attribution.